T-Human (T-ヒューマン, Tī Hyūman) is an ukaku quinque that was wielded by Hairu Ihei. It takes the form of three satellite panels attached to a rapier handle. It can fire either a concentrated or dispersed blast of condensed Rc cells.[2]

T-Human is a quinque that shoots out condensed RC cells [2] to attack foes. It is shaped almost like a flower, but within the central part of the weapon is a small blade for melee attacks. This quinque can be used for medium-ranged to up-close combat, however, it is best used at a range.

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2024年5月14日 · THuman2.0 Dataset contains 500 high-quality human scans captured by a dense DLSR rig. For each scan, we provide the 3D model (****.obj) and the corresponding texture map (material0.jpeg). Update: We have released SMPL-X fitting parameters and corresponding meshes, you can download them from Here .

T-Human Quinque in Ro-GhoulCheck out Jason Kakuja here - https://youtu.be/6qqgNgYZXagLIKE & SUBSCRIBE HERE: https://bit.ly/2LZKMbJ FOLLOW FOR MORE! Business ...

This dataset contains three multi-view image sequences used in our paper "Structured Local Radiance Fields for Human Avatar Modeling". They are captured with 24 well-calibrated RGB cameras in 30 fps, with a resolution of 1330x1150 and lengths ranging from 2500 to 5000 frames.

Today, we showcase the new Reworked T-Human in Ro-Ghoul!Music used in the video:Lil Boom - Already Dead (Omae Wa Mou) Instrumental (Prod. Deadman) (E...

THuman3.0 Dataset contains 20 combinations of human-garment, each contains 15 to 35 high-quality human scans captured by a dense DSLR rig. For each scan, we provide the 3D model (****.obj) along with the corresponding texture map (tex.png).

THuman数据集是一个用于 3D人体重建 的研究数据集，它利用了DoubleFusion技术收集了230个人物的序列，并从中挑选了7000个数据。 该数据集在多个研究中被使用，例如在CVPR 2023上进行的实验中，研究人员通过评估他们的方法在THHuman 2.0和RenderPeople数据集上的表现来比较其效果。 此外， THHuman数据集 有多个版本，如THUman2.0，该版本仅限于非商业研究目的使用。 还有THHuman-Sit和THHuman-Grasp两个子集，分别包含4700个和500个高质量扫 …

2024年5月26日 · THUman2.0是一个由500个高质素人体扫描数据组成的数据库，每个扫描都配有3D模型和纹理映射。 这个庞大的数据集不仅包含了多样化的动作姿势，还提供了SMPL-X参数和对应的网格，使得研究者能深入探索人体建模的复杂性。 此外，通过Function4D技术，即使使用非常稀疏的RGBD传感器，也能实现真实感的人体体积捕捉，达到实时处理的速度。 Function4D是THUman2.0的核心算法，它能在极低的硬件要求下实现实时人体体积捕获。 这项技术结合了 …